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International Conference on Intelligent Text Processing and Computational Linguistics

CICLing 2002: Computational Linguistics and Intelligent Text Processing pp 402–404Cite as

Automated Selection of Interesting Medical Text Documents by the TEA Text Analyzer

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2276))

Abstract

This short paper briefly describes the experience in the automated selection of interesting medical text documents by the TEA text analyzer based on the naïve Bayes classifier. Even if the used type of the classifier provides generally good results, physicians needed certain supporting functions to obtain really interesting medical text documents, for example, from resources like the Internet. The influence of the functions is summarized and discussed. In addition, some remaining problems are mentioned.

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References

  1. Bourek, A., Suchý, M., and Svoboda, P.: Standards of Efficient Medical Care (SEMC). In: Proceedings of the 7th International Conference on System Science in Health Care, Lyon, ISSHC, (2000), 436–439

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  2. Bourek, A., Žižka, J., Ventruba, P., and Frey, L.: The Use of the Internet for Monitoring Trends in Assisted Reproduction and Reproductive Medicine. Gynekolog, 5, (2000), 220–223 (in Czech)

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  3. Michie, D., Spiegelhalter, D. J., and Taylor, C. C.: Machine Learning, Neural and Statistical Classification. Ellis Horwood, New York, (1994)

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  4. Special Issue of Machine Learning Journal on Information Retrieval. Machine Learning Journal, Vol. 39, No. 2/3, May/June. Kluwer Academic Publishers (2000)

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  5. Žižka, J., Bourek, A., and Frey, L.: TEA: A Text Analysis Tool for the Intelligent Text Document Filtering. In: Text, Speech, and Dialogue. Springer Verlag, Berlin, Heidelberg, New York, (2000), LNCS 1902, 151–156

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information Technologies, Faculty of Informatics, Masaryk University in Brno, Botanická 68a, 602 00, Brno, Czech Republic

    Jan Žižka

  2. Department of Biophysics, Faculty of Medicine, Masaryk University in Brno, Joštova 10, 662 43, Brno, Czech Republic

    Aleš Bourek

Authors
  1. Jan Žižka
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  2. Aleš Bourek
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Editor information

Editors and Affiliations

  1. CIC Centro de Investigacion en Computacion, IPN Instituto Politecnico Nacional, Col Zacateno, CP 07738, Mexico DF, Mexico

    Alexander Gelbukh

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© 2002 Springer-Verlag Berlin Heidelberg

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Žižka, J., Bourek, A. (2002). Automated Selection of Interesting Medical Text Documents by the TEA Text Analyzer. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2002. Lecture Notes in Computer Science, vol 2276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45715-1_42

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  • DOI: https://doi.org/10.1007/3-540-45715-1_42

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43219-7

  • Online ISBN: 978-3-540-45715-2

  • eBook Packages: Springer Book Archive

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